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TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass tutorials and applications. TensorLayer is awarded the 2017 Best Open Source Software by the ACM Multimedia Society. This project can also be found at OpenI and Gitee. 3.0.0 has been pre-released, the current version supports TensorFlow, MindSpore and PaddlePaddle (partial) as the backends, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend. In the future, it will support TensorFlow, MindSpore, PaddlePaddle, PyTorch and other backends. TensorLayer has a high-level layer/model abstraction which is effortless to learn. You can learn how deep learning can benefit your AI tasks in minutes through the massive examples.
Features
- Run TensorLayer models on the low-cost AI chip
- Low-level APIs for professional usage and high-level APIs for simple usage
- Supports TensorFlow, MindSpore and PaddlePaddle
- TensorLayer is a new deep learning library designed with simplicity, flexibility and high-performance in mind
- TensorLayer has a high-level layer/model abstraction which is effortless to learn
- TensorLayer APIs are transparent and flexible
Project Samples
